INTRODUCTION: Ethical reasoning is an important skill for all physicians who often face complex ethical dilemmas in their daily practice. Therefore, medical training should include methods for learning ethical theories and concepts, as well as how to apply them in practical situations. AIM: Assess the contribution of an Ethical Reasoning Learning session to fifth medical students' training through a comparison of results of the same objective and structured clinical examination (OSCE) in the form of simulated interview before and after sessions. METHODS: Four 45- minutes' sessions of Ethical Reasoning Learning (ERL) were implemented during a psychiatry internship for four groups of 5th-year students of the faculty of medicine of Monastir (Tunisia). Each session was divided into 7 parts: introduction, reading of a clinical vignette, brainstorming concerning the problems posed by this clinical situation, classification of the problems, identification of the principles of medical ethics, construction of the ethical matrix, and a conclusion. RESULTS: Fifty-seven students participated in the study divided into 4 groups. We found a significant difference in the means of the OSCE scores before and after the ERL session and a significant difference between the probability of respecting medical secrecy during pre and post-ethical reasoning learning sessions (p <0.001). We have found an effect of ERL sessions on the acquisition of this ethical competence by medical students. CONCLUSION: We learned that an ERL session has improved medical training in ethics applied to psychiatry. Other sessions dealing with other ethical skills are necessary to confirm these results.
Clinical Competence , Ethics, Medical , Students, Medical , Humans , Students, Medical/psychology , Ethics, Medical/education , Tunisia , Education, Medical/methods , Education, Medical/ethics , Learning , Internship and Residency/ethics , Psychiatry/education , Psychiatry/ethics , Female , Male , Educational Measurement , Clinical Reasoning
Most students in Health Profession Education courses are new to the world of qualitative research. Faced with the challenge of designing a research project, they are often drawn towards using the questionnaire as a data collection method, commonly assuming that utilising open-ended questions alone constitutes qualitative research design. Designing questionnaires that meet the standards of rigour is challenging, and this common assumption reflects inexperience with and misunderstandings of qualitative ontology, as well as the lack of methodological literature on designing and developing qualitative questionnaires. This paper is written with research supervisors as well as students in mind, as it is aimed to help elucidate the decision-making process and the justification for using a qualitative questionnaire. Drawing upon examples of research conducted by our students, and the wider literature, we demonstrate how qualitative questionnaires can produce rich and meaningful findings when they (1) prioritise qualitative research values, and (2) follow a rigorous design process when the questionnaire is developed. We conclude by offering a simple framework for developing rigorous qualitative questionnaires to those who may consider using this approach.
Education, Medical , Qualitative Research , Surveys and Questionnaires , Humans , Education, Medical/methods , Research Design/standards
OBJECTIVES: To evaluate the role of artificial intelligence (Google Bard) in figures, scans, and image identifications and interpretations in medical education and healthcare sciences through an Objective Structured Practical Examination (OSPE) type of performance. METHODS: The OSPE type of question bank was created with a pool of medical sciences figures, scans, and images. For assessment, 60 figures, scans and images were selected and entered into the given area of the Google Bard to evaluate the knowledge level. RESULTS: The marks obtained by Google Bard in brain structures, morphological and radiological images 7/10 (70%); bone structures, radiological images 9/10 (90%); liver structure and morphological, pathological images 4/10 (40%); kidneys structure and morphological images 2/7 (28.57%); neuro-radiological images 4/7 (57.14%); and endocrine glands including the thyroid, pancreas, breast morphological and radiological images 8/16 (50%). The overall total marks obtained by Google Bard in various OSPE figures, scans, and image identification questions were 34/60 (56.7%). CONCLUSION: Google Bard scored satisfactorily in morphological, histopathological, and radiological image identifications and their interpretations. Google Bard may assist medical students, faculty in medical education and physicians in healthcare settings.
Artificial Intelligence , Humans , Education, Medical/methods , Educational Measurement/methods , Radiography/methods
BACKGROUND: The utilization of AI language models in education and academia is currently a subject of research, and applications in clinical settings are also being tested. Studies conducted by various research groups have demonstrated that language models can answer questions related to medical board examinations, and there are potential applications of these models in medical education as well. RESEARCH QUESTION: This study aims to investigate the extent to which current version language models prove effective for addressing medical inquiries, their potential utility in medical education, and the challenges that still exist in the functioning of AI language models. METHOD: The program ChatGPT, based on GPT 3.5, had to answer 1025 questions from the second part (M2) of the medical board examination. The study examined whether any errors and what types of errors occurred. Additionally, the language model was asked to generate essays on the learning objectives outlined in the standard curriculum for specialist training in anesthesiology and the supplementary qualification in emergency medicine. These essays were analyzed afterwards and checked for errors and anomalies. RESULTS: The findings indicated that ChatGPT was able to correctly answer the questions with an accuracy rate exceeding 69%, even when the questions included references to visual aids. This represented an improvement in the accuracy of answering board examination questions compared to a study conducted in March; however, when it came to generating essays a high error rate was observed. DISCUSSION: Considering the current pace of ongoing improvements in AI language models, widespread clinical implementation, especially in emergency departments as well as emergency and intensive care medicine with the assistance of medical trainees, is a plausible scenario. These models can provide insights to support medical professionals in their work, without relying solely on the language model. Although the use of these models in education holds promise, it currently requires a significant amount of supervision. Due to hallucinations caused by inadequate training environments for the language model, the generated texts might deviate from the current state of scientific knowledge. Direct deployment in patient care settings without permanent physician supervision does not yet appear to be achievable at present.
Anesthesiology , Artificial Intelligence , Emergency Medicine , Anesthesiology/education , Emergency Medicine/education , Humans , Language , Curriculum , Education, Medical/methods
The COVID-19 pandemic ushered in digital learning experiences to front and centre of medical education in disruptive ways. As the pandemic subsides students and educators sigh in relief, longing to move away from the loneliness and disconnection and back to the norms of face-to-face learning and consulting. In the field of medical education however, the need for digital education has exponentially increased over the decade with strong evidence for future growth. We face the pressure of increasing student numbers on clinical placement and some students now desire or even need hybrid options for the flexibility of time, place, and pace. There is persistent criticism that digital education lacks human connection. This paper argues, however, that it is possible and vital to humanise the virtual learning experience, though particular attention needs to be given to digital pedagogy and relational aspects of learning and teaching. Drawing on Noddings' pedagogies of care and her theoretical model, we unpack one case-study of a medical education elective course that transitioned online during the pandemic. The aim of this paper is to engage medical educators with the pedagogy of care and relational pedagogy literature, which are currently almost absent from the medical education literature, as applied to the digital education realm. Core themes include modelling care and connection, enabling dialogue, inviting student engagement and practice in caring for each other and supporting the deeper work of being present themselves and confirming each other. Limitations and implications for future research will also be explored.
COVID-19 , Education, Distance , Education, Medical , Pandemics , Humans , COVID-19/epidemiology , Education, Medical/methods , Education, Distance/methods , SARS-CoV-2 , Students, Medical/psychology , Teaching/standards
Inadequate education regarding disease manifestations in diverse skin colors hinders diagnosis and exacerbates health disparities. All levels of medical trainees report low confidence in accurately identifying disease in skin of color (SOC). To help further elucidate these concerns, our research aims to assess medical student confidence in recognizing cutaneous diseases in SOC and their viewpoints regarding SOC education within their institution. An eight-question, open-ended survey was provided to medical students before and after a SOC presentation. The survey assessed participants' confidence in their diagnostic ability and perspectives on educational material. Among the 70 attendees, 58 (82.8%) and 64 (91.4%) completed the pre- and post-seminar surveys, respectively. There was a significant discrepancy in confidence levels when assessing cutaneous manifestations of internal pathology in light (Monk Skin Colors 1-5) versus dark (Monk Skin Colors 6-10) skin (p < 0.009). Notably, 78.7% (37/47) perceived the institutional learning materials as insufficient for SOC. Post-seminar reflections indicated that 87.2% (40/46) of students lacked confidence in diagnosing SOC, with 78.7% (32/46) citing inadequate curriculum coverage as the cause. An additional 8.5% (6/46) identified the predominance of white-centric medical descriptions as a hindrance. Students collectively called for improved educational approaches, including better visual representation of diseases in darker skin. Medical education must continue to strive for increased SOC representation to train competent physicians in treating a diverse patient population and reduce disparities in SOC patients.
Curriculum , Skin Pigmentation , Students, Medical , Humans , Students, Medical/statistics & numerical data , Surveys and Questionnaires/statistics & numerical data , Skin Diseases/diagnosis , Education, Medical/methods , Dermatology/education , Male , Female , Clinical Competence/statistics & numerical data , Education, Medical, Undergraduate/methods , Adult
Medical education in the US has contributed to institutionalized racism through historically exclusionary practices, which has led to health disparities and inequities in health care today. The 1910 Flexner report, which favored schools with greater resources, led to the closure of nearly half of medical schools in the Us, which were mostly small schools located in rural communities that served economically disadvantaged, ethnic minority, and female populations. Closing these schools ultimately limited the availability of physicians willing to serve disadvantaged and minority populations in impoverished and underserved communities. In order to transform medical education to be more equitable, medical schools must be proactive in opportunity, diversity, and equity efforts. This not only includes efforts in admissions and faculty hiring, but also curricula related to social and health disparities, interracial interactions between students and faculty, and service learning activities that engage and work with marginalized communities. The University of Hawai'i John A. Burns School of Medicine has a longstanding commitment to diversity, which is integral to the school's mission. Providing opportunities to underserved populations has been a priority since establishment of the school. As one of the most diverse univeristies in the US, the school of medicine continues to focus on opportunity, diversity, and equity priorities in both its strategic planning and overall mission.
Cultural Diversity , Education, Medical , Schools, Medical , Humans , Schools, Medical/statistics & numerical data , Schools, Medical/trends , Schools, Medical/organization & administration , Hawaii , Education, Medical/methods , Education, Medical/trends , History, 20th Century , History, 21st Century
INTRODUCTION: The objective of this systematic scoping review is to identify what approaches have been implemented in medical education programmes to teach medical students the skills to identify and manage emotions that may be elicited in them during physician-patient interactions and in the clinical environment. Emotions of all involved in the clinical encounter are central to the process of clinical care. However, a gap remains addressing and teaching medical students about recognising and dealing with their own emotions. METHODS AND ANALYSIS: This scoping review will follow the updated JBI (The Johanna Briggs Institute) methodology guidance for the conduct and reporting of systematic scoping reviews, and the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews. A search strategy was developed and applied to five databases. Terms used included medical education, medical curriculum, medical students, emotion (regulation), psychological well-being and mental health. Additionally, a grey literature and reference list search will be conducted. Two independent reviewers will first screen titles and abstracts followed by a second, full-text screening phase. Publications to be included will contain information and data about teaching approaches such as lectures, and other teaching material on physicians' emotion awareness and emotion regulation training in medical education. ETHICS AND DISSEMINATION: This study will review existing literature on emotion awareness and emotion regulation training in medical education, and a systematic scoping review does not require ethical approval. The results of this scoping review will be submitted for publication to relevant peer-reviewed journals and will be used to inform the development and implementation of training programmes and research studies aimed at preparing medical students to identify and manage their own emotions in the clinical environment.
Education, Medical , Emotional Regulation , Systematic Reviews as Topic , Humans , Education, Medical/methods , Physicians/psychology , Students, Medical/psychology , Emotions , Curriculum , Physician-Patient Relations , Awareness , Research Design
OBJECTIVE: To analyse and compare the assessment and grading of human-written and machine-written formative essays. STUDY DESIGN: Quasi-experimental, qualitative cross-sectional study. Place and Duration of the Study: Department of Science of Dental Materials, Hamdard College of Medicine & Dentistry, Hamdard University, Karachi, from February to April 2023. METHODOLOGY: Ten short formative essays of final-year dental students were manually assessed and graded. These essays were then graded using ChatGPT version 3.5. The chatbot responses and prompts were recorded and matched with manually graded essays. Qualitative analysis of the chatbot responses was then performed. RESULTS: Four different prompts were given to the artificial intelligence (AI) driven platform of ChatGPT to grade the summative essays. These were the chatbot's initial responses without grading, the chatbot's response to grading against criteria, the chatbot's response to criteria-wise grading, and the chatbot's response to questions for the difference in grading. Based on the results, four innovative ways of using AI and machine learning (ML) have been proposed for medical educators: Automated grading, content analysis, plagiarism detection, and formative assessment. ChatGPT provided a comprehensive report with feedback on writing skills, as opposed to manual grading of essays. CONCLUSION: The chatbot's responses were fascinating and thought-provoking. AI and ML technologies can potentially supplement human grading in the assessment of essays. Medical educators need to embrace AI and ML technology to enhance the standards and quality of medical education, particularly when assessing long and short essay-type questions. Further empirical research and evaluation are needed to confirm their effectiveness. KEY WORDS: Machine learning, Artificial intelligence, Essays, ChatGPT, Formative assessment.
Artificial Intelligence , Educational Measurement , Machine Learning , Humans , Cross-Sectional Studies , Educational Measurement/methods , Pakistan , Education, Medical/methods , Students, Dental/psychology , Writing , Qualitative Research , Education, Dental/methods
BACKGROUND: Open educational resources (OER) are educational materials licensed openly by authors, permitting usage, redistribution, and in some instances, modification. OER platforms thereby serve as a medium for distributing and advancing teaching materials and innovative educational methodologies. OBJECTIVE: This study aims to determine the present state of OER in otorhinolaryngology and to examine the prerequisites for seamlessly integrating OER into the curricular teaching of medical schools, specifically through the design of two OER blended learning modules. METHODS: OER content in the field of otorhinolaryngology was analyzed on OER platforms, ensuring its relevance to the German medical curriculum. Data protection concerns were addressed with legal counsel. The blended learning modules were developed in collaboration with medical students and subsequently published as OER. RESULTS AND CONCLUSION: This project yielded the first OER from a German ENT department, tailored to the German medical curriculum. One significant barrier to OER use in medicine, more than in other fields, is data protection. This challenge can be navigated by obtaining consent to publish patient data as OER. OER hold the promise to play a pivotal role in fostering cooperation and collaboration among educators, aiding educators in lesson preparation, and simultaneously enhancing didactic quality.
Curriculum , Needs Assessment , Otolaryngology , Germany , Pilot Projects , Otolaryngology/education , Computer-Assisted Instruction/methods , Humans , Teaching Materials , Education, Medical/methods
In medical and biomedical education, traditional teaching methods often struggle to engage students and promote critical thinking. The use of AI language models has the potential to transform teaching and learning practices by offering an innovative, active learning approach that promotes intellectual curiosity and deeper understanding. To effectively integrate AI language models into biomedical education, it is essential for educators to understand the benefits and limitations of these tools and how they can be employed to achieve high-level learning outcomes.This article explores the use of AI language models in biomedical education, focusing on their application in both classroom teaching and learning assignments. Using the SOLO taxonomy as a framework, I discuss strategies for designing questions that challenge students to exercise critical thinking and problem-solving skills, even when assisted by AI models. Additionally, I propose a scoring rubric for evaluating student performance when collaborating with AI language models, ensuring a comprehensive assessment of their learning outcomes.AI language models offer a promising opportunity for enhancing student engagement and promoting active learning in the biomedical field. Understanding the potential use of these technologies allows educators to create learning experiences that are fit for their students' needs, encouraging intellectual curiosity and a deeper understanding of complex subjects. The application of these tools will be fundamental to provide more effective and engaging learning experiences for students in the future.
Artificial Intelligence , Humans , Problem-Based Learning/methods , Education, Medical/methods , Educational Measurement/methods
High-acuity trauma necessitates experienced and rapid intervention to prevent patient harm. However, upskilling junior trainees through hands-on management of real trauma cases is rarely feasible without compromising patient safety. This quality education report sought to investigate whether a simulation course operated via mixed reality (MR) headset devices (Microsoft HoloLens) could enhance the clinical knowledge recall and preparedness to practice of junior trainees with no prior experience managing trauma.The Plan-Do-Study-Act quality improvement method was used to refine six emergency trauma vignettes compatible with an MR teaching platform. Each vignette was curated by a multidisciplinary team of orthopaedic surgeons, clinical fellows and experts in simulation-based medical education. As a baseline assessment, a 2-hour emergency trauma course was delivered using traditional didactic methods to a cohort of pre-registration medical students with no clinical exposure to high-acuity trauma (n=16). Next, we delivered the MR simulation to an equivalent cohort (n=32). Clinical knowledge scores derived from written test papers were recorded for each group during and 2 weeks after each course. Each attendee's end-of-rotation clinical supervisor appraisal grade was recorded, as determined by a consultant surgeon who supervised participants during a 2-week placement on a major trauma ward. Balancing measures included participant feedback and validated cognitive load questionnaires (National Aeronautics and Space Administration-Task Load Index).Overall, attendees of the MR simulation course achieved and sustained higher clinical knowledge scores and were more likely to receive a positive consultant supervisor appraisal. This project serves as a proof of concept that MR wearable technologies can be used to improve clinical knowledge recall and enhance the preparedness to practice of novice learners with otherwise limited clinical exposure to high-acuity trauma.
Augmented Reality , Education, Medical , Students, Medical , United States , Humans , Computer Simulation , Education, Medical/methods
This Viewpoint discusses the concept of CARE (compassion, assistance, respect, and empathy) as a way physicians can practice the art of medicine in the current era of care that increasingly incorporates predictive analytics and artificial intelligence.
Delivery of Health Care , Medicine , Patient-Centered Care , Physicians , Technology , Humans , Delivery of Health Care/methods , Education, Medical/methods , Education, Medical/standards , Empathy , Helping Behavior , Listening Effort , Medicine/methods , Patient-Centered Care/methods , Physician-Patient Relations , Physicians/psychology , Physicians/standards , Respect
Current escalation of natural disasters, pandemics, and humanitarian crises underscores the pressing need for inclusion of disaster medicine in medical education frameworks. Conventional medical training often lacks adequate focus on the complexities and unique challenges inherent in such emergencies. This discourse advocates for the integration of disaster medicine into medical curricula, highlighting the imperative to prepare health-care professionals for an effective response in challenging environments. These competencies encompass understanding mass casualty management, ethical decision-making amidst resource constraints, and adapting health-care practices to varied emergency contexts. Therefore, we posit that equipping medical students with these specialized skills and knowledge is vital for health-care delivery in the face of global health emergencies.
Disaster Medicine , Education, Medical , Humans , Disaster Medicine/education , Disaster Medicine/methods , Disaster Medicine/trends , Education, Medical/methods , Education, Medical/trends , Education, Medical/standards , Curriculum/trends , Curriculum/standards
